標(biāo)題: Titlebook: Intelligent Computing in Carcinogenic Disease Detection; Kaushik Das Sharma,Subhajit Kar,Madhubanti Maitra Book 2024 The Editor(s) (if app [打印本頁] 作者: malignant 時(shí)間: 2025-3-21 19:15
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書目名稱Intelligent Computing in Carcinogenic Disease Detection讀者反饋
書目名稱Intelligent Computing in Carcinogenic Disease Detection讀者反饋學(xué)科排名
作者: PAEAN 時(shí)間: 2025-3-21 20:17 作者: 多余 時(shí)間: 2025-3-22 02:28
Kaushik Das Sharma,Subhajit Kar,Madhubanti Maitrae ein Erstarren in rein traditionellen Finanzierungsformen verhindert. Obwohl sie in den letzten 15 Jahren ein fester Bestandteil der Finanzierungspraxis wurden, bestehen über ihr Wesen, ihre Wirkungsweise und ihre Probleme oftmals noch erhebliche Unklarheiten. Der Grund dafür ist vor allem darin zu作者: Gratulate 時(shí)間: 2025-3-22 07:05
Kaushik Das Sharma,Subhajit Kar,Madhubanti Maitrae ein Erstarren in rein traditionellen Finanzierungsformen verhindert. Obwohl sie in den letzten 15 Jahren ein fester Bestandteil der Finanzierungspraxis wurden, bestehen über ihr Wesen, ihre Wirkungsweise und ihre Probleme oftmals noch erhebliche Unklarheiten. Der Grund dafür ist vor allem darin zu作者: 越自我 時(shí)間: 2025-3-22 12:10 作者: 感激小女 時(shí)間: 2025-3-22 15:32 作者: 性冷淡 時(shí)間: 2025-3-22 17:26 作者: flaunt 時(shí)間: 2025-3-22 23:07
Introduction,may form tumors, which can be either cancerous or benign. Carcinogenic cells, characterized by irregular shapes due to DNA mutations, have the ability to metastasis, or spread, to other areas of the body. Reducing mortality rates and providing effective treatment for cancer need early and precise ca作者: 兩棲動(dòng)物 時(shí)間: 2025-3-23 02:40
Biological Background of Benchmark Carcinogenic Data Sets,pecific information at the gene, cell, and tissue levels. Advanced biological studies and microarray technology provide gene level data, which are essential for intelligent computing in the identification and classification of carcinogenic diseases. These data allow for the simultaneous monitoring o作者: 巨碩 時(shí)間: 2025-3-23 07:08 作者: 殘廢的火焰 時(shí)間: 2025-3-23 10:18
Classical Approaches in Gene Evaluation for Carcinogenic Disease Detection,n the human body through gene expression information. Microarray data sets are critical to the automated detection of carcinogenic diseases, as they facilitate manual pathological diagnosis methods. The challenges arise from the vast number of genes within limited accessible samples, making the anal作者: 未完成 時(shí)間: 2025-3-23 16:10 作者: organic-matrix 時(shí)間: 2025-3-23 20:49
Intelligent Computing Approach for Leukocyte Identification,volves identifying leukocytes using color-based clustering and then extracting a large set of features from the detected cells. Weighted aggregation-based transposition PSO (WATPSO) is introduced that effectively selects an optimized subset of features that are necessary for correctly classifying he作者: 浮夸 時(shí)間: 2025-3-23 23:50 作者: Ventilator 時(shí)間: 2025-3-24 02:36
Conclusion,ormation at the gene, cell, and tissue levels. The suggested frameworks achieve strong outcomes in microscopic image investigations and DNA microarray data processing by employing intelligent assessment criteria. Important contributions include the study of gene subset identification, improved gene 作者: 外形 時(shí)間: 2025-3-24 10:31
Biological Background of Benchmark Carcinogenic Data Sets,ssential for detecting and classifying carcinogenic diseases. This chapter explores the in-depth procedure for preparing CT scan, microscopic blood smear image, and microarray gene expression data. Additionally, standard benchmark data sets for these modalities are discussed, contributing to the adv作者: LAIR 時(shí)間: 2025-3-24 14:20
Classical Approaches in Gene Evaluation for Carcinogenic Disease Detection,AML, and MLL subclasses of cancer, the chapter seeks to distinguish cancer types based on patterns of gene expression. For a diagnosis to be both accurate and efficient, filter- and wrapper-based gene selection techniques have been examined. The chapter delves more into gene ranking techniques based作者: Detoxification 時(shí)間: 2025-3-24 14:50 作者: jocular 時(shí)間: 2025-3-24 20:33
Intelligent Computing Approach for Lung Nodule Detection,odology has been successfully applied to the Lung Image Database Consortium (LIDC) data set. The experimental findings demonstrate the efficacy of the proposed method, with only 12 differentiating features required to achieve a remarkable sensitivity of 97.59% and blind testing accuracy of 97.78%. C作者: 匍匐 時(shí)間: 2025-3-25 02:56
len und die Kreditinstitute mit sich bringt, umfassend zu untersuchen. Diese geschlossene Darstellung der Schuldscheindarlehen ist als notwendige Erg?nzung der Finanzierungs- literatur gedacht, die den interessierten Praktikern in der Industrie, dem Ver- sicherungs- und Kreditwesen gleicherma?en die作者: 分期付款 時(shí)間: 2025-3-25 07:03
Kaushik Das Sharma,Subhajit Kar,Madhubanti Maitrasammelstellen und die Kreditinstitute mit sich bringt, umfassend zu untersuchen. Diese geschlossene Darstellung der Schuldscheindarlehen ist als notwendige Erg?nzung der Finanzierungs- literatur gedacht, die den interessierten Praktikern in der Industrie, dem Ver- sicherungs- und Kreditwesen gleicherma?en die978-3-663-03111-6978-3-663-04300-3作者: 法官 時(shí)間: 2025-3-25 09:08 作者: GUILT 時(shí)間: 2025-3-25 12:10
Kaushik Das Sharma,Subhajit Kar,Madhubanti Maitralen und die Kreditinstitute mit sich bringt, umfassend zu untersuchen. Diese geschlossene Darstellung der Schuldscheindarlehen ist als notwendige Erg?nzung der Finanzierungs- literatur gedacht, die den interessierten Praktikern in der Industrie, dem Ver- sicherungs- und Kreditwesen gleicherma?en die作者: Myocarditis 時(shí)間: 2025-3-25 19:31 作者: 猛烈責(zé)罵 時(shí)間: 2025-3-25 22:58 作者: 使厭惡 時(shí)間: 2025-3-26 01:04
Kaushik Das Sharma,Subhajit Kar,Madhubanti Maitraen Dichtercharakters offenbar so glaubwürdig, da? man alle Ungereimtheiten dieser Fiktion übersah und Holmsen als einen ?konsequenten Realisten?[4] ?ffentlich feierte. Die leidvollen Schulerfahrungen, von denen der vermeintliche übersetzer so ausführlich zu berichten wu?te, wurden von sehr vielen ze作者: Antimicrobial 時(shí)間: 2025-3-26 04:58 作者: 羽毛長(zhǎng)成 時(shí)間: 2025-3-26 08:48 作者: 榮幸 時(shí)間: 2025-3-26 14:06
2510-1765 fectiveness in the context of carcinogenic disease detection.??..In closing, the book presents illustrative case studies that demonstrate the value of intelligent computing strategies..978-981-97-2426-0978-981-97-2424-6Series ISSN 2510-1765 Series E-ISSN 2510-1773 作者: Tracheotomy 時(shí)間: 2025-3-26 16:58
Conclusion,search possibilities, stressing the value of standardized diagnostic methods and the promise of deep learning networks in biomedical image analysis. It also emphasizes the applicability of microarray technology in clinical microbiology and multimodal medical imaging in advancing cancer research and intelligent diagnostics.作者: ADAGE 時(shí)間: 2025-3-26 21:24 作者: Suggestions 時(shí)間: 2025-3-27 03:49 作者: faultfinder 時(shí)間: 2025-3-27 05:48 作者: entreat 時(shí)間: 2025-3-27 11:38
Intelligent Computing Approaches for Carcinogenic Disease Detection: A Review,how intelligent technologies are changing the landscape of cancer detection. The significance of these strategies is analyzed, offering insights into how they might improve diagnosis accuracy and advance our understanding of cancer-related disorders.作者: 前兆 時(shí)間: 2025-3-27 16:25
2510-1765 g state-of-the-art methodologies.Present case studies involv.This book draws on a range of intelligent computing methodologies to effectively detect and classify various carcinogenic diseases. These methodologies, which have been developed on a sound foundation of gene-level, cell-level and tissue-l作者: 網(wǎng)絡(luò)添麻煩 時(shí)間: 2025-3-27 21:05
978-981-97-2426-0The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor作者: COLIC 時(shí)間: 2025-3-27 22:19
Intelligent Computing in Carcinogenic Disease Detection978-981-97-2424-6Series ISSN 2510-1765 Series E-ISSN 2510-1773 作者: insular 時(shí)間: 2025-3-28 06:01
https://doi.org/10.1007/978-981-97-2424-6Microarray gene expression profile; Gene selection; PSO-based adaptive k-NN; Weighted aggregation-based作者: 修正案 時(shí)間: 2025-3-28 09:48 作者: enmesh 時(shí)間: 2025-3-28 12:01
Computational Intelligence Methods and Applicationshttp://image.papertrans.cn/i/image/469525.jpg作者: MUT 時(shí)間: 2025-3-28 16:35
A. K. Saini,A. K. Nayak,Ram Krishna VyasPresents innovations in health care, education, e-governance as well as various fields of human endeavor.Highlights how information and communication technologies (ICTs) are the key players in improvi
